Toward Energy-efficient Computing
Sun Microsystems Inc. –
As a result of both the increased average power consumed by a single system, and the rapid growth in the number of total computer systems deployed, energy consumption by computers and related technologies is growing at an exponential rate analogous to Moore’s Law. The use of energy has become a consequential factor in the design of contemporary computer systems.
This talk frames the energy problem in general, looking at its current implications in the computing space. I’ll introduce several of the basic technologies that have been introduced which may help us to manage power use on modern computing platforms, then describe some recent experience in their application as seen from my vantage point at Sun. The conclusion, is that while some of these mechanisms are enabling, they seem far from sufficient to realise optimal energy use in computing.
How should the energy problem be framed more specifically for computer system designers?
I will give a simple vision for energy-efficient computing, and describe a number of the elements that appear necessary if we are to solve it along those lines. Some likely avenues of research are suggested.
About the Author
David Brown is presently working on the Solaris operating system’s core power management facilities, with particular attention to Sun’s x64 hardware platforms. Earlier at Sun he led the Solaris ABI program: a campaign to develop and deliver a practical approach to binary compatibility for applications built on Solaris.
Before coming to Sun, Dave was a member of the research staff at Stanford University, where he worked with Andy Bechtolsheim on the prototype SUN Workstation; later was a founder of Silicon Graphics, where he developed early system and network software and designed a floating point accelerator; and subsequently established the Workstation Systems Engineering Group for DEC in Palo Alto along with Steve Bourne, where he built the team that developed the graphics architecture applied in DEC ’s MIPS workstations and the PixelStamp and PixelVision subsystems.
Dave’s technical background is computer systems (operating systems and networking), and architecture with some specific attention to the design of high-performance interactive graphics systems.
Dave received a Ph.D. in Computer Science from Cambridge University, for a dissertation which introduced the “Unified Memory Architecture” approach for the integration of high performance graphics subsystems in a general-purpose computing architecture. This idea is now widely applied, notably in the current Intel processor and memory system architecture.
Date: 2009-Jul-20 Time: 14:30:00 Room: 336
For more information:
OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities
We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
Nadia El-Mabrouk, Université de Montréal (class)
Mattéo Delabre, Université de Montréal (hands-on)
Ran Libeskind-Hadas, Claremont McKenna College (class and hands-on)
Russell Schwartz, Carnegie Mellon University (class and hands-on)
See the preliminary agenda at: https://olissipo.inesc-id.pt/tree-tango-school
Registration is mandatory. You can register at: https://forms.gle/VsASFHW5E7MJvaCc9
The registration fee is 250€ for students and OLISSIPO members and 350€ for postdocs or other researchers (meals indicated at the schedule of the school are included, accommodation and flights are not). All details will be made available upon registration.
We will have slots for flash talks (3-10 min depending on the number of submissions) to present yourself and the work you have been developing in your research.
The 13th Lisbon Machine Learning School | LxMLS 2023
The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2023 will be a 6-day event (14-20 July, 2023), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
Check online for information about past editions: LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020, LxMLS 2021, LxMLS 2022 (you can also watch the videos of the lectures for 2016, 2017, 2018, and 2020).
31st International Conference on Information Systems Development (ISD 2023)
The 31st International Conference on Information Systems Development (ISD 2023) conference provides a forum for research and developments in the field of information systems. The theme of ISD 2023 is “Information systems development, organizational aspects and societal trends”. New trends in developing information systems emphasize the continuous collaboration between developers and operators in order to optimize the software delivery time. The conference promotes research on methodological and technological issues and how IS developers and operators are transforming organizations and society through information systems.
The ISD 2023 conference held this year also provides an opportunity for researchers and practitioners to promote their research, practical experience, and to discuss issues related to Information Systems through papers, posters, and journal-first paper presentations.
ISD 2023 will be hosted by Instituto Superior Técnico, in Lisbon, Portugal, on August 30–September 1, 2023.